Director Data & Analytics

Medline Industries, LP • Northbrook, IL

1d • $154,000 - $231,000

About The Position

The Director, Enterprise Data Products & Decision Intelligence Center of Excellence (COE) defines and leads Medline’s enterprise approach to building, governing, and scaling reusable data products and decision intelligence capabilities. The role provides strategic and operational leadership for the COE, establishing the standards, frameworks, operating model, and talent needed to turn enterprise data into trusted, certified products that power analytics, AI, and decision-making at scale.

Partnering with leaders across Supply Chain, Manufacturing, Finance, Sales, Quality, Procurement, and other functions, the Director shapes how data is sourced, modeled, productized, and activated. The role moves the organization from descriptive reporting toward predictive, prescriptive, and AI-assisted decisions. It requires techno-functional fluency, comfort operating in ambiguity, strong product management discipline, and the ability to balance immediate business needs with long-term enterprise data and AI innovation.

The Director owns the enterprise data product portfolio and leads the development of governed, certified data foundations and decision intelligence use cases. The role also establishes COE standards and adoption practices, leads change management, governs delivery partners, and manages and develops a multidisciplinary team of data product managers, BI leaders, data architects, and analysts.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Business Administration, or a related field, or equivalent experience.
• 10 or more years of experience in data engineering, business intelligence, analytics, or data management.
• 4 or more years in leadership roles managing data and analytics teams.
• Proven experience building or leading a Center of Excellence or similar enterprise capability.
• Demonstrated experience owning and scaling enterprise data products or data platforms in large, complex organizations.
• Strong background managing Service Integrators or large-scale delivery partners.
• Deep understanding of data product management principles, including product thinking, data contracts, lifecycle management, and value measurement.
• Working knowledge of modern data platform architecture, including data warehouse and lakehouse patterns, medallion/layered architecture, ETL/ELT design, dimensional modeling, and semantic models, sufficient to evaluate and challenge technical design decisions.
• Understanding of decision intelligence, advanced analytics, machine learning, and generative AI concepts and their application to business decision-making.
• Working knowledge of business intelligence and visualization platforms such as Power BI or equivalent, including semantic model and workspace governance.
• Strong understanding of enterprise data in the context of business goals and ability to connect data capabilities to measurable outcomes.
• Strong written and verbal communication skills, with the ability to adjust communication for executive, functional, and technical audiences.
• Experience leading change management and adoption efforts in large organizations.

Nice To Haves

• Master's degree.
• Hands-on familiarity with Microsoft Fabric, including OneLake, Lakehouse, Data Engineering, Real-Time Intelligence, and Power BI, and Azure data services such as Azure Data Factory, Synapse, ADLS, Azure Databricks, and Azure Machine Learning.
• Experience with data governance and catalog tools such as Microsoft Purview, Collibra, or Alation.
• Experience leading modernization from legacy on-premise platforms to cloud data platforms.
• Domain experience in healthcare, medical products, manufacturing, distribution, or supply chain.
• Experience with process, organizational, and architectural constructs such as data mesh, AI integration, and ROI metrics.
• Certifications in Azure, Microsoft Fabric, data management (CDMP), product management, or change management.

Responsibilities

• Define and own the multi-year vision, strategy, and roadmap for enterprise data products and decision intelligence, aligned with enterprise and business unit objectives.
• Establish and lead the Data Products & Decision Intelligence COE, including its charter, operating model, engagement model, funding approach, and success metrics.
• Lead enterprise demand intake, qualification, and prioritization; sequence work against capacity and communicate trade-offs to executive sponsors.
• Define business cases, expected benefits, and value measures for data product and analytics investments, and report portfolio progress, adoption, and value realization to senior leadership.
• Own the enterprise data product portfolio, including product vision, roadmaps, prioritized backlogs, and lifecycle management from ideation through deployment and retirement.
• Build and scale reusable, governed, and certified enterprise data products, conformed dimensions, and semantic models for multiple business functions.
• Establish data product standards for ownership, SLAs, data contracts, documentation, quality thresholds, and certification criteria.
• Champion reuse of certified data products over single-purpose solutions and identify and eliminate duplication across business units and functions.
• Partner with Data Governance and Information Security on data quality, stewardship, metadata, lineage, access management, and compliance requirements.
• Lead the evolution from descriptive reporting to diagnostic, predictive, and prescriptive analytics that embed insights into business decisions and workflows.
• Identify and deliver high-value decision intelligence use cases in partnership with business and data science teams, including demand sensing, inventory optimization, pricing, margin and cost-to-serve analytics, quality, and supplier risk.
• Enable AI-ready data, including feature-ready datasets, semantic layers, and governed data for machine learning, generative AI, and agentic AI solutions.
• Define frameworks for measuring decision outcomes and closing the loop between insights, actions, and business results.
• Establish COE standards, frameworks, reference architectures, templates, and best practices for data products, semantic models, BI, and analytics delivery.
• Promote data literacy and self-service analytics through training, communities of practice, workshops, and certification programs.
• Drive adoption through change management and communication, including retirement of legacy and duplicative reporting.
• Lead governance of Service Integrators and delivery partners, ensuring delivery quality, cost effectiveness, and alignment with architecture standards.
• Lead recruiting, retention, performance management, and career development for data product managers, BI leaders, data architects, and analysts.
• Mentor and coach leaders and team members, fostering a collaborative, high-performance, and innovation-driven culture.
• Allocate internal and partner resources efficiently to support timely delivery and minimize business disruption.
• Review, challenge, and enhance departmental policies, standards, and methodologies.

Benefits

• Competitive total rewards package.
• Continuing education and training.
• Health insurance for employees working 30 or more hours per week on average.
• Life and disability benefits for employees working 30 or more hours per week on average.
• 401(k) contributions.
• Paid time off for employees working 30 or more hours per week on average.
• For employees working less than 30 hours per week, benefits include access to the Employee Assistance Program, Employee Resource Groups, and the Employee Service Corp.

What This Job Offers

• Job Type: Full-time
• Career Level: Director